The use of Cloud Computing has increasedrapidly in many organization .Cloud Computing provides many benefits in terms of low cost and accessibility of data. In addition Cloud Computing was predicted to transform the computing world from using local applications and storage into centralized services provided by organization.[10] Ensuring the security of Cloud Computing is major factor in the Clo...

Robotics is one of the most challenging applications of soft computing techniques. It is characterized by direct interaction with a real world, sensory feedback and a complex control system. This paper reviews the application of soft computing approaches, particularly neural networks, in the domain of visual servoing of robotic manipulators. Various robotic tasks within the scope of visual serv...

Robotics is one of the most challenging applications of soft computing techniques. It is characterized by direct interaction with a real world, sensory feedback and a complex control system. This paper reviews the application of soft computing approaches, particularly neural networks, in the domain of visual servoing of robotic manipulators. Various robotic tasks within the scope of visual serv...

For the purpose of better application, the nonlinear correction of the transducer is very important. The soft computing methods which include the neural network linearization correction method and linear interpolation method are put forward to realize the nonlinear correction for the transducer. The principles, algorithms and realization of these methods are discussed, and nonlinear correction ...

An evolutionary computing technique for solving initial value problems in Ordinary Differential Equations is proposed in this paper. Neural network is used as a universal approximator while the adaptive parameters of neural networks are optimized by genetic algorithm. The solution is achieved on the continuous grid of time instead of discrete as in other numerical techniques. The comparison is ...

In this paper, We interpret a fuzzy differential equation by using the strongly generalized differentiability concept. Utilizing the Generalized characterization Theorem. Then a novel hybrid method based on learning algorithm of fuzzy neural network for the solution of differential equation with fuzzy initial value is presented. Here neural network is considered as a part of large field called ...

The use of Cloud Computing has increasedrapidly in many organization .Cloud Computing provides many benefits in terms of low cost and accessibility of data. In addition Cloud Computing was predicted to transform the computing world from using local applications and storage into centralized services provided by organization.[10] Ensuring the security of Cloud Computing is major factor in the Clo...

1 Terje Kristensen, The Department of Computer Science, Bergen University College, Nygårdsgaten 112, N-5020 Bergen , Norway. E-mail: [email protected]. Abstract The human brain and related concepts such as learning, knowledge and computing are discussed. The Artificial Neural Network (ANN) paradigm is introduced as a model of computing. Some aspects of the brain and a neural network such as knowledge ...

This paper proposes neural network for computing the eigenvectors of Hermitian matrices. For the eigenvalues of Hermitian matrices, we establish an explicit representation for the solution of the neural network based on Hermitian matrices and analyze its convergence property. We also consider to compute the eigenvectors of skew-symmetric matrices and skew-Hermitian matrices, corresponding to th...